通过腹膜电肌图测量呼吸力度的估计 功能
Gabriela Grońska1, Elisabetta Peri1, Xi Long1
1Department of Electrical Engineering, Eindhoven University of Technology, De Groene Loper 19, 5612AP Eindhoven, The Netherlands.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
隔膜电肌图 (dEMG) 提供了一种非侵入性的方法来测量呼吸力度. 像波形长度这样的时间域dEMG特征显示出准确的呼吸力度评估的前景,即使有噪音信号.
科学领域:
- 呼吸系统生理学 呼吸系统生理学
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 呼吸力对于诊断障碍性睡眠呼吸暂停 (OSA) 等疾病和管理通风患者至关重要.
- 食道压力 (Pes) 是衡量呼吸力度的黄金标准,但具有侵入性和不舒服性.
- 隔膜电肌图 (dEMG) 是一种非侵入性的替代方案,反映了呼吸驱动.
研究的目的:
- 为了比较各种dEMG信号特征,以评估其在估计呼吸力度方面的有效性.
- 确定最强大的dEMG特征,用于在不同信号质量的呼吸力度评估.
主要方法:
- 在10名OSA患者的夜间dEMG记录中分析时间,频率和统计领域特征的可行性研究.
- 在dEMG特征和食道压力 (Pes) 之间的相关性分析.
- 克鲁斯卡尔-瓦利斯测试用于评估不同信号质量的特征稳定性.
主要成果:
- 时间域特征 (过包,RMS,波形长度) 与 Pes. 显示了中等到强的相关性 (R > 0.6).
- 波形长度,曲线下面积和斜率信号变化显示出对噪声的稳定性,在低质量的信号中保持相关性 (R > 0.5).
- 频率和统计领域特征 (例如,平均/中位数频率,斜率) 的表现不佳 (R < 0.3).
结论:
- 选择最佳特征对于使用dEMG进行可靠的非侵入性呼吸力度估计至关重要.
- 时间域的dEMG特征,特别是波形长度,对于准确而强大的呼吸力度监测具有前景.
- 这项研究为开发先进的非侵入性呼吸道监测工具提供了基础.
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